Dataset · Hugging Face

tum-nlp/neural-news-benchmark

Name: neural-news-benchmark
Creator: tum-nlp
License: openrail++
Keywords: task_categories:text-classification, task_categories:zero-shot-classification, language:en, language:tr, language:hu, language:fa, license:openrail++, size_categories:10K<n<100K, format:csv, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, arxiv:2408.10724

AI-generated News Detection Benchmark neural-news is a benchmark dataset designed for human/AI news authorship classification in English, Turkish, Hungarian, and Persian. Presented in Crafting Tomorrow's Headlines: Neural News Generation and Detection in English, Turkish, Hungarian, and Persian @ NLP for Positive Impact Workshop @ EMNLP2024. Dataset Details The dataset includes equal parts human-written and AI-generated news articles, raw and pre-processed.… See the full description on the dataset page: https://huggingface.co/datasets/tum-nlp/neural-news-benchmark.

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Author / organization	tum-nlp
License (as declared)	openrail++
Downloads	436 (as reported by Hugging Face)
Likes	4
Created	16 July 2024
Last updated at source	5 February 2025

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17 Oct 2026 Description: AI-generated News Detection Benchmark neural-news is a benchmark dataset designed for human/AI news authorship classification in English, Turkish, Hungarian, and Persian. Presented in Crafting Tomorrow's Headlines: Neural News Generation an → AI-generated News Detection Benchmark neural-news is a benchmark dataset designed for human/AI news authorship classification in English, Turkish, Hungarian, and Persian. Presented in Crafting Tomorrow's Headlines: Neural News Generation an

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